6533b85ffe1ef96bd12c1bab

RESEARCH PRODUCT

Fast, Reliable Head Tracking Under Varying Illumination

M. La CasciaStan Sclaroff

subject

Head trackingSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryFeature extractionDetectorComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationRegularization (mathematics)Computer Science::Computer Vision and Pattern RecognitionComputer visionArtificial intelligenceImage warpingbusinessTexture mappingComputingMethodologies_COMPUTERGRAPHICS

description

An improved technique for 3D head tracking under varying illumination conditions is proposed. The head is modeled as a texture mapped cylinder. Tracking is formulated as an image registration problem in the cylinder's texture map image. To solve the registration problem in the presence of lighting variation and head motion, the residual error of registration is modeled as a linear combination of texture warping templates and orthogonal illumination templates. Fast and stable on-line tracking is then achieved via regularized weighted least squares minimization of the registration error. The regularization term tends to limit potential ambiguities that arise in the warping and illumination templates. Tracking does not require a precise initial of the model; the system is initialized automatically using a simple 2D face detector. The only assumption is that the target is facing the camera in the first frame of the sequence. Experiments in tracking are reported.

yearjournalcountryeditionlanguage
2003-01-20
https://doi.org/10.21236/ada366995